Modeling word perception using the Elman network
| Autor: | Jau-Chi Huang, Cheng-Yuan Liou, Wen-Chie Yang |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
business.industry
Computer science Cognitive Neuroscience media_common.quotation_subject Speech recognition Semantic search Process (computing) Representation (arts) Content-addressable memory computer.software_genre Computer Science Applications Categorization Artificial Intelligence Perception Artificial intelligence business computer Natural language processing Word (computer architecture) media_common Meaning (linguistics) |
| Zdroj: | Neurocomputing. 71:3150-3157 |
| ISSN: | 0925-2312 |
| DOI: | 10.1016/j.neucom.2008.04.030 |
| Popis: | This paper presents an automatic acquisition process to acquire the semantic meaning for the words. This process obtains the representation vectors for stemmed words by iteratively improving the vectors, using a trained Elman network. Experiments performed on a corpus composed of Shakespeare's writings show its linguistic analysis and categorization abilities. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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